On the Power and Limitations of Examples for Description Logic Concepts

Open Access
Authors
Publication date 2024
Host editors
  • K. Larson
Book title Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
Book subtitle Jeju, Korea : 3-9 August 2024
ISBN
  • 9798331304058
ISBN (electronic)
  • 9781956792041
Series IJCAI
Event 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024
Volume | Issue number 5
Pages (from-to) 3567-3575
Number of pages 9
Publisher Marina del Rey, CA: International Joint Conferences on Artificial Intelligence
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract

Labeled examples (i.e., positive and negative examples) are an attractive medium for communicating complex concepts. They are useful for deriving concept expressions (such as in concept learning, interactive concept specification, and concept refinement) as well as for illustrating concept expressions to a user or domain expert. We investigate the power of labeled examples for describing description-logic concepts. Specifically, we systematically study the existence and efficient computability of finite characterisations, i.e., finite sets of labeled examples that uniquely characterize a single concept, for a wide variety of description logics between EL and ALCQI,both without an ontology and in the presence of a DL-Lite ontology. Finite characterisations are relevant for debugging purposes, and their existence is a necessary condition for exact learnability with membership queries.

Document type Conference contribution
Language English
Related publication On the Power and Limitations of Examples for Description Logic Concepts (Extended Abstract)
Published at https://doi.org/10.24963/ijcai.2024/395
Other links https://www.proceedings.com/76457.html https://www.scopus.com/pages/publications/85204299737
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